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Frequency Distribution
A table that shows how many observations fall into each category or class.
Frequency
The number of times a value or category occurs.
Relative Frequency
Frequency ÷ Total Number of Observations.
Percent Frequency
Relative Frequency × 100.
Cumulative Frequency
The running total of frequencies.
Range
Largest value − Smallest value.
Ordered Array
Data arranged from smallest to largest.
Class Interval
A range of values used to group numerical data.
Class Width
The size of each class interval in a frequency distribution.
Histogram
Used for numerical data; bars touch because the data are continuous.
Bar Chart
Used for categorical data; bars are separated by gaps.
Pie Chart
Shows each category as a percentage of the whole.
Pareto Chart
A bar chart arranged from highest frequency to lowest frequency.
Stem-and-Leaf Plot
Displays numerical data while preserving the original values.
Scatter Plot
Shows the relationship between two numerical variables.
Time Series Plot
Shows how data changes over time.
Contingency Table
A table showing the relationship between two categorical variables.
Row Percentage
Percentage calculated within each row.
Column Percentage
Percentage calculated within each column.
Overall Percentage
Percentage calculated using the total number of observations.
Best graph for categorical data
Bar Chart, Pie Chart, or Pareto Chart.
Best graph for numerical data
Histogram or Stem-and-Leaf Plot.
Best graph for two numerical variables
Scatter Plot.
Best graph for data over time
Time Series Plot.
Histogram vs. Bar Chart
Histogram = numerical data & touching bars; Bar Chart = categorical data & gaps between bars.
Relative Frequency Formula
Frequency ÷ Total.
Percent Frequency Formula
(Frequency ÷ Total) × 100.
Purpose of a Frequency Distribution
To organize data and show how often values occur.
Why do histogram bars touch?
Because the data are numerical and continuous.
Why do bar chart bars have gaps?
Because the categories are separate and not continuous.